Articles | Volume 21, issue 2
https://doi.org/10.5194/hess-21-721-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-721-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
03 Feb 2017
Research article |
| 03 Feb 2017
Modeling 3-D permeability distribution in alluvial fans using facies architecture and geophysical acquisitions
College of Resource Environment and Tourism, Capital Normal University, Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing, China
Huili Gong
CORRESPONDING AUTHOR
College of Resource Environment and Tourism, Capital Normal University, Laboratory Cultivation Base of Environment Process and Digital Simulation, Beijing, China
Zhenxue Dai
College of Construction Engineering, Jilin University, Changchun, 130021, China
Earth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico, USA
Gaoxuan Guo
Beijing Institute of Hydrogeology and Engineering Geology, Beijing, China
Pietro Teatini
Department of Civil, Environmental and Architectural Engineering, University of Padova, Padova, Italy
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18 citations as recorded by crossref.
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- Assessment of the heterogeneity of hydraulic properties in gravelly outwash plains: a regionally scaled sedimentological analysis in the Munich gravel plain, Germany M. Theel et al. 10.1007/s10040-020-02205-y
- Experimental and numerical investigations of the effect of imbricated gravel structures on flow and solute transport in a highly heterogeneous alluvial-proluvial fan aquifer, SW China J. Zhou et al. 10.1007/s10652-020-09760-8
- Aquifer heterogeneity controls to quality monitoring network performance for the protection of groundwater production wells T. Sarris et al. 10.1016/j.watres.2022.118485
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- Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR H. Li et al. 10.1016/j.scitotenv.2021.149244
- Hydrogeological controls on the flow regime of an ephemeral temperate stream flowing across an alluvial fan J. Blackburn et al. 10.1016/j.jhydrol.2021.125994
- Vegetation Controls on the Spatio-Temporal Heterogeneity of Deep Moisture in the Unsaturated Zone: A Hydrogeophysical Evaluation B. Acharya et al. 10.1038/s41598-017-01662-y
- Understanding Uneven Land Subsidence in Beijing, China, Using a Novel Combination of Geophysical Prospecting and InSAR L. Guo et al. 10.1029/2020GL088676
- Subsurface sedimentary structure identification using deep learning: A review C. Zhan et al. 10.1016/j.earscirev.2023.104370
- Effects of Water Diversion Project on groundwater system and land subsidence in Beijing, China L. Zhu et al. 10.1016/j.enggeo.2020.105763
- Understanding the different responses from the similarity between displacement and groundwater level time series in Beijing, China H. Sun et al. 10.1007/s11069-021-05041-9
- Temporal and Spatial Evolution of Land Subsidence Induced by Groundwater Exploitation and Construction in the Eastern Chaoyang District, Beijing, China Y. Si et al. 10.1007/s12524-018-0821-z
- The transmission of isotopic signals from precipitation to groundwater and its controls: An experimental study with soil cylinders of various soil textures and burial depths in a monsoon region Y. Jiang et al. 10.1016/j.jhydrol.2024.130746
- Recognizing Allogenic Controls on the Stratigraphic Architecture of Ancient Alluvial Fans in the Western US S. Meek et al. 10.3389/feart.2020.00215
- Fractal model for permeability estimation in low-permeable porous media with variable pore sizes and unevenly adsorbed water lay Q. Dai et al. 10.1016/j.marpetgeo.2021.105135
18 citations as recorded by crossref.
- Effects of surface loading on groundwater flow and skeletal deformation Q. Yu et al. 10.2166/ws.2019.163
- Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theory H. Li et al. 10.5194/nhess-21-823-2021
- A numerical investigation of the effects of model parameterization on the delineation of source protection zones under uncertainty A. Kenny et al. 10.1016/j.watres.2024.123010
- Assessment of the heterogeneity of hydraulic properties in gravelly outwash plains: a regionally scaled sedimentological analysis in the Munich gravel plain, Germany M. Theel et al. 10.1007/s10040-020-02205-y
- Experimental and numerical investigations of the effect of imbricated gravel structures on flow and solute transport in a highly heterogeneous alluvial-proluvial fan aquifer, SW China J. Zhou et al. 10.1007/s10652-020-09760-8
- Aquifer heterogeneity controls to quality monitoring network performance for the protection of groundwater production wells T. Sarris et al. 10.1016/j.watres.2022.118485
- Brackish-water desalination plant modulates ground deformation in the city of Cape Coral, Florida G. Aslan et al. 10.1016/j.srs.2023.100077
- Spatiotemporal modeling of land subsidence using a geographically weighted deep learning method based on PS-InSAR H. Li et al. 10.1016/j.scitotenv.2021.149244
- Hydrogeological controls on the flow regime of an ephemeral temperate stream flowing across an alluvial fan J. Blackburn et al. 10.1016/j.jhydrol.2021.125994
- Vegetation Controls on the Spatio-Temporal Heterogeneity of Deep Moisture in the Unsaturated Zone: A Hydrogeophysical Evaluation B. Acharya et al. 10.1038/s41598-017-01662-y
- Understanding Uneven Land Subsidence in Beijing, China, Using a Novel Combination of Geophysical Prospecting and InSAR L. Guo et al. 10.1029/2020GL088676
- Subsurface sedimentary structure identification using deep learning: A review C. Zhan et al. 10.1016/j.earscirev.2023.104370
- Effects of Water Diversion Project on groundwater system and land subsidence in Beijing, China L. Zhu et al. 10.1016/j.enggeo.2020.105763
- Understanding the different responses from the similarity between displacement and groundwater level time series in Beijing, China H. Sun et al. 10.1007/s11069-021-05041-9
- Temporal and Spatial Evolution of Land Subsidence Induced by Groundwater Exploitation and Construction in the Eastern Chaoyang District, Beijing, China Y. Si et al. 10.1007/s12524-018-0821-z
- The transmission of isotopic signals from precipitation to groundwater and its controls: An experimental study with soil cylinders of various soil textures and burial depths in a monsoon region Y. Jiang et al. 10.1016/j.jhydrol.2024.130746
- Recognizing Allogenic Controls on the Stratigraphic Architecture of Ancient Alluvial Fans in the Western US S. Meek et al. 10.3389/feart.2020.00215
- Fractal model for permeability estimation in low-permeable porous media with variable pore sizes and unevenly adsorbed water lay Q. Dai et al. 10.1016/j.marpetgeo.2021.105135
Latest update: 22 Feb 2025
Short summary
We developed a method to characterize the distribution and variance of the hydraulic conductivity k in a multiple-zone alluvial fan by fusing multiple-source data. Consistently with the scales of the sedimentary transport energy, the k variance of the various facies decreases from the upper to the lower portion along the flow direction. The 3-D distribution of k is consistent with that of the facies. The potentialities of the proposed approach are tested on the Chaobai River megafan, China.
We developed a method to characterize the distribution and variance of the hydraulic...
